Yevgeniy vorobeychik (64 risultati)

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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the 10th International Conference on Decision and Game Theory for Security, GameSec 2019,held in Stockholm, Sweden, in October 2019.The 21 full papers presented together with 11 short papers were carefully reviewed and selected from 47 submissions.The papers focus on protection of heterogeneous, large-scale and dynamic cyber-physical systems as well as managing security risks faced by critical infrastructures through rigorous and practically-relevant analytical methods.…

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the 4th International Conference on Distributed Artificial Intelligence, DAI 2022, held in Tianjin, China, in December 2022. The 5 full papers presented in this book were carefully reviewed and selected from 12 submissions. DAI aims at bringing together international researchers and practitioners in related areas including general AI, multiagent systems, distributed learning, computational game theory, etc., to provide a single, high-profile, internationally renowned forum for research in the theory and practice of distributed AI.…

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - The increasing abundance of large high-quality datasets, combined with significant technical advances over the last several decades have made machine learning into a major tool employed across a broad array of tasks including vision, language, finance, and security. However, success has been accompanied with important new challenges: many applications of machine learning are adversarial in nature. Some are adversarial because they are safety critical, such as autonomous driving. An adversary in these applications can be a malicious party aimed at causing congestion or accidents, or may even model unusual situations that expose vulnerabilities in the prediction engine. Other applications are adversarial because their task and/or the data they use are. For example, an important class of problems in security involves detection, such as malware, spam, and intrusion detection. The use of machine learning for detecting malicious entities creates an incentive among adversaries to evade detection by changing their behavior or the content of malicius objects they develop.The field of adversarial machine learning has emerged to study vulnerabilities of machine learning approaches in adversarial settings and to develop techniques to make learning robust to adversarial manipulation. This book provides a technical overview of this field. After reviewing machine learning concepts and approaches, as well as common use cases of these in adversarial settings, we present a general categorization of attacks on machine learning. We then address two major categories of attacks and associated defenses: decision-time attacks, in which an adversary changes the nature of instances seen by a learned model at the time of prediction in order to cause errors, and poisoning or training time attacks, in which the actual training dataset is maliciously modified. In our final chapter devoted to technical content, we discuss recent techniques for attacks on deep learning, as well as approaches for improving robustness of deep neural networks. We conclude with a discussion of several important issues in the area of adversarial learning that in our view warrant further research.Given the increasing interest in the area of adversarial machine learning, we hope this book provides readers with the tools necessary to successfully engage in research and practice of machine learning in adversarial settings.…

Taschenbuch. Condizione: Neu. Decision and Game Theory for Security | 10th International Conference, GameSec 2019, Stockholm, Sweden, October 30 - November 1, 2019, Proceedings | Tansu Alpcan (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xi | Englisch | 2019 | Springer | EAN 9783030324292 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Taschenbuch. Condizione: Neu. Distributed Artificial Intelligence | 4th International Conference, DAI 2022, Tianjin, China, December 15-17, 2022, Proceedings | Makoto Yokoo (u. a.) | Taschenbuch | Lecture Notes in Computer Science | ix | Englisch | 2023 | Springer | EAN 9783031255489 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume constitutes the refereed proceedings of the 17th International Conference on Decision and Game Theory for Security, GameSec 2026, which took place in Ann Arbour, Michigan, USA, in October 2026.The 29 full papers included in the proceedings were carefully reviewed and selected from 57 submissions. They were organized in topical sections as follows: Equilibrium Computation and Game-Theoretic Foundations; Information Design, Mechanism Design, and Strategic Incentives; Deception, Stackelberg Games, and Cyber-Physical Security; AI, LLM, and Agent Security; Learning-Based Security and Networked Systems.…

Taschenbuch. Condizione: Neu. Adversarial Machine Learning | Yevgeniy Vorobeychik (u. a.) | Taschenbuch | Synthesis Lectures on Artificial Intelligence and Machine Learning | xvii | Englisch | 2018 | Springer | EAN 9783031004520 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Paperback. Condizione: Brand New. 615 pages. 6.14x1.25x9.21 inches. In Stock.

Condizione: Hervorragend. Zustand: Hervorragend | Seiten: 596 | Sprache: Englisch | Produktart: Bücher | This book constitutes the refereed proceedings of the 10th International Conference on Decision and Game Theory for Security, GameSec 2019,held in Stockholm, Sweden, in October 2019.The 21 full papers presented together with 11 short papers were carefully reviewed and selected from 47 submissions.The papers focus on protection of heterogeneous, large-scale and dynamic cyber-physical systems as well as managing security risks faced by critical infrastructures through rigorous and practically-relevant analytical methods.…

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Condizione: New. Dr. Ayan Mukhopadhyay is a senior research scientist at Vanderbilt University and an incoming Assistant Professor of Computer Science at the College of William &amp Mary. His research focuses on developing scalable and adaptive algorithmic method.